This paper proposes a two-stage method integrating visual foundation models （VFM） and diffusion models. The segment anything model （SAM） as VFM is combined with the SegRefiner diffusion model to construct the SAM-SegRefiner framework for automated segmentation of edema， inflammation， and thrombus regions in histopathological images of hemorrhoidal tissue， providing a reproducible technical tool for the objective quantification of pathological morphology and its application in traditional Chinese medicine （TCM） syndrome research. Trained and validated on multi-center retrospective data， the SAM-SegRefiner model achieved an average pixel accuracy of 95.32% and a mean intersection over union （mIoU） of 66.81% on an independent test set， significantly outperfor-ming comparative models such as U-Net， MixU-Net， and SAM-Med2D， and also demonstrating robust cross-center generalization capability. Furthermore， by correlating the quantitatively segmented results from the model with the patients' TCM syndrome types， the potential associations between pathomorphological features and TCM syndrome differentiation have been explored. The analysis revealed no statistically significant differences in the degree of inflammatory infiltration and thrombus formation among different syndrome types， suggesting a complex relationship between local pathological changes and systemic syndrome manifestations.

Objective To provide a reference for the establishment, development and application of the adverse drug reaction （ADR） automated monitoring system, through verifying and quantifying the research hotspots and advantages of the system by CiteSpace software and systematic review. Methods Literature on ADR automated monitoring up to December 2023 were retrieved and screened from CNKI and web of science databases. CiteSpace 6.4.R1 software was used to conduct co-occurrence, clustering and emergence analysis, and to visualize and comparatively analyze the research hotspots, rules and distribution in the field of automated monitoring of ADR at home and abroad. In compliance with the preferred reporting items for systematic reviews and Meta-analyses （PRISMA）, literature covering publications in English and Chinese including detection rates of ADR collected using Incident Reporting Systems （IRSs） and/or automated monitoring systems were retrieved and screened. The advantages and disadvantages of automated monitoring systems were analyzed by comparing the differences between these two systems in terms of the number of ADR reports and the types of positive signals. Results A total of 56 articles in English and 80 articles in Chinese were indexed by CiteSpace. The research hotspots in recent years included data mining, deep learning, text classification techniques, machine learning and so on. A total of seven studies compiled with the inclusion criteria for the systematic evaluation, all of which were completed between 1991 and 2021 in hospitals in four countries. 150 526 medical records were reviewed from 15 institutions. A total of 194 ADR reports were collected by IRSs. A total of 2 090 ADR reports were collected by the automated monitoring system over the same period, indicating a 977% increase in the number of ADR reports （P=0.0156） compared with the IRSs. Conclusion The ADR automatic monitoring system had significantly improved the level of drug risk identification and reduced costs, but it was necessary to optimize the algorithm, expand the data source and carry out standardization construction to overcome the current limitations.

Objective To develop a novel protective ventilator circuit component and to verify its performance by water seal and anti-splash experiments.Methods A novel protective ventilator circuit component had a design scheme with the multifunctional joint,and consisted of a tee connection tube,an isolation sleeve and a stop sleeve,of which,the tee connection tube was made of polyethylene polymer material and the others were made of silicone material.The tee connection tube had a T-shaped structure with two standard connection ports,which was composed of an adapter,a sealing cap,a plug and a sealing ring;the isolation sleeve was in the shape of a cylinder with a raised bottom,which was inserted into the adapter;the stop sleeve was located in the isolation sleeve,with an inverted frustum of a cone at the bottom and a rounded hole in the middle of the inverted frustum.An open ventilator circuit tube was involved in the performance verification of the circuit component developed.In the water seal experiment,sputum aspiration was simulated and the heights of the liquid level drop in the L-shaped tubes were compared after sputum aspiration.In the anti-splash experiment,the infection rates on the surfaces of the sterile hole towels and gloves were calculated.Results Water seal experiment showed after sputum aspiration the open ventilator circuit tube had the liquid level at the L-shaped tube higher significantly than that of the circuit component;the anti-splash experiment indicated sputum aspiration resulted in the occurance of the splashing out of the secretion and 77.5%infection rate by the open ventilator circuit tube,while no splashing out and 0%infection rate by the circuit component developed.Conclusion The novel protective ventilator circuit component behaves well in sealing and anti-splashing,and thus is worthy of clinical application for sputum aspiration.[Chinese Medical Equipment Journal,2025,46(4):113-117]

Objective Using the advantages of LASSO regression in early screening of complex diseases and judging disease condi-tions,to search a tool for early evaluation of cardiac insufficiency and infection in elderly people with community-acquired pneumonia(CAP)combined with diabetes mellitus(DM)to guide clinical practice.Methods According to the levels of the indexes at admission,the maximum level of the indexes during hospitalization and the level of the indexes at discharge were analyzed by multivariate analysis,and the differences of the core characteristic indexes were compared between the elderly patients with CAP combined with DM(CAP+DM)and those with CAP without DM(CAP alone)to discuss the necessity of biochemical indicators for predicting the development of core characteristics of two groups of patients.Results In elderly CAP+DM patients,the higher level of the blood white blood cell count at admission,the maximum levels of N terminal-pro B type natriuretic peptide(NT-pro BNP)and urine white blood cell count during hospitalization were higher.The higher the urine white blood cell count at admission,the maximum levels of blood white blood cell count and urine white blood cell count during hospitalization were higher.According to the NT-pro BNP,blood routine,and urine routine in-dexes at admission of elderly CAP patients,LASSO regression was performed on the maximum levels of core indexes during hospitalization and the levels of core indexes at discharge.It was found that after adding biochemical indexes,the determination coefficients of maximum levels of NT-pro BNP and urine white blood cell count during hospitalization and the NT-pro BNP level at discharge were significantly increased.Conclusion In elderly CAP+DM patients,the level of blood white blood cell count at admission can be used as a predictor of the severity of cardiac insufficiency during hospitalization.For elderly CAP+DM patients with higher blood white blood cell count and urine white blood cell count,attention should be paid to screen urinary tract infection during hospitalization.Biochemical tests at admis-sion can effectively help elderly CAP patients judge the severity of cardiac insufficiency and urinary tract infection during hospitalization and the cardiac function at discharge.

Aim To investigate the interventional effects of polysaccharides from Dicliptera chinensis(L.)Juss.(DCP)on acute liver failure(ALF)in-duced by lipopolysaccharide(LPS)combined with D-galactosamine(D-GalN)in mice,and on LPS-induced inflammatory responses in RAW264.7 cells,based on the TLR-4/MyD88/NF-κB signaling pathway.Meth-ods Mice were randomly divided into the control,model,silymarin,DCP low,medium,and high dose groups,and toxicity test groups.After 10 consecutive days of treatment,ALF models were established by in-jecting mice with LPS+D-GalN.Additionally,an in-flammatory response model was established by stimula-ting RAW264.7 cells with LPS.Results Biochemical assays showed that compared with the model group,the medium-and high-dose DCP groups exhibited de-creased serum ALT,AST,ALP,TBIL,and γ-GT activi-ties(P＜0.05),reduced levels of ROS,MPO and MDA in liver(P＜0.05),increased activities of SOD,GSH-Px,CAT,and elevated T-AOC levels(P＜0.05).ELISA revealed lower levels of ICAM-1,VCAM-1,IL-6,IL-1β,and TNF-α in liver(P＜0.05).HE staining indicated reduced inflammatory cell infiltration and improved hepatocyte necrosis in liv-er after DCP administration.The use of DCP alone showed no significant organ toxicity.qRT-PCR and Western blot results indicated that DCP inhibited the expression of key factors in TLR-4/MyD88/NF-κB sig-naling pathway(P＜0.05).Cell validation experi-ments also confirmed that this pathway was inhibited by DCP.Conclusion DCP alleviates ALF primarily by inhibiting oxidative stress and blocking the activation of the TLR-4/MyD88/NF-κB signaling pathway.

Robot-assisted surgery with its advantages such as three-dimensional high-definition vision, dexterous robotic arms, and tremor filtration, is increasingly being applied to complex radical gastrectomy. However, the role of the surgical assistant remains crucial during the procedure. The assistant is responsible for tasks outside the console, including adjusting robotic arms, changing instruments, exposing the surgical field, and addressing unexpected situations. The technical proficiency of the assistant and their collaboration efficiency with the primary surgeon directly impact the smoothness of surgery and patients' outcomes. With the expansion of robot-assisted surgical indications, the establishment of a standardized training system and the optimization of team collaboration models have become urgent challenges to address. This article draws on the author's practical experience as an assistant in robot-assisted gastric cancer surgeries, conducting an in-depth analysis of the responsibilities and operational skills of surgical assistants in robot-assisted procedures. The aim is to develop a relatively comprehensive set of operational guidelines for surgical assistants in robot-assisted radical gastrectomy, providing valuable references for enhancing the overall efficiency of surgical teams and improving surgical outcomes.

Objective To rescue a strain of Chikungunya virus(CHIKV)using reverse genetics system.Methods Molecular cloning experiments,including PCR,agarose gel electrophoresis and homologous recombination were employed to generate an infectious cDNA clone(pFK-CHIKV-LN)derived from the isolated Caribbean Chikungunya strain(Caribbean strain,isolate M100,Genbank LN898083.1).The mRNA obtained from vitro transcription were transfected into BHK-21 to rescue the CHIKV.The viral titer was determined by 50%tissue culture infection dose(TCID50),with calculations performed using the Reed-Muench method.Western blot(WB)and real time quantitative polymerase chain reaction(RT-qPCR)were employed to assess the levels of viral protein and mRNA at various time points during infection.Results The full-length cDNA clone of CHIKV was successfully constructed,enabling the rescue of CHIKV progeny.RT-qPCR and WB confirmed the significant increasing expression levels of NS1 mRNA and proteins(NS3,E1)of BHK-21 during the infection process.Conclusion The full-length infectious clone of CHIKV has been constructed successfully,which provides a good tool for subsequent studies on the gene structure,protein function and pathogenic mechanism of CHIKV.

Objective To develop an early automated differential diagnosis between Parkinson's disease(PD)and multiple system at-rophy-Parkinsonism(MSA-P)using a non-invasive combination of voice signal analysis and artificial intelli-gence.Methods From July,2023 to February,2025,a total of 48 MSA-P patients and 76 PD patients with a course of less than five years were recruited from Beijing Tiantan Hospital,Capital Medical University.Voice features,such as glot-tal,phonatory,articulatory,prosodic,phonological and representation learning-based features were extracted from eleven voice tasks.A data-driven approach was used to identify the most discriminative features,which were utilized to construct diagnostic models using a variety of machine learning models.The diagnostic model with the strongest discriminative efficiency was selected.Results The logistic regression model showed the best performance.For early-stage patients with a course less than two years,the diagnostic accuracy,precision and recall rate between PD and MSA-P were 92.5%,95.9%and 92.2%,respectively.For all the patients with a course less than five years,the logistic regression model achieved an accu-racy of 89.1%,a precision of 91.6%,and a recall rate of 92.4%.Even when features extracted from a single speech paradigm were used for analysis,the diagnostic accuracy could still reach 77.7%.Conclusion Voice signals analysis is potential in the early differential diagnosis of PD and MSA-P.

Objective To develop a novel protective ventilator circuit component and to verify its performance by water seal and anti-splash experiments.Methods A novel protective ventilator circuit component had a design scheme with the multifunctional joint,and consisted of a tee connection tube,an isolation sleeve and a stop sleeve,of which,the tee connection tube was made of polyethylene polymer material and the others were made of silicone material.The tee connection tube had a T-shaped structure with two standard connection ports,which was composed of an adapter,a sealing cap,a plug and a sealing ring;the isolation sleeve was in the shape of a cylinder with a raised bottom,which was inserted into the adapter;the stop sleeve was located in the isolation sleeve,with an inverted frustum of a cone at the bottom and a rounded hole in the middle of the inverted frustum.An open ventilator circuit tube was involved in the performance verification of the circuit component developed.In the water seal experiment,sputum aspiration was simulated and the heights of the liquid level drop in the L-shaped tubes were compared after sputum aspiration.In the anti-splash experiment,the infection rates on the surfaces of the sterile hole towels and gloves were calculated.Results Water seal experiment showed after sputum aspiration the open ventilator circuit tube had the liquid level at the L-shaped tube higher significantly than that of the circuit component;the anti-splash experiment indicated sputum aspiration resulted in the occurance of the splashing out of the secretion and 77.5%infection rate by the open ventilator circuit tube,while no splashing out and 0%infection rate by the circuit component developed.Conclusion The novel protective ventilator circuit component behaves well in sealing and anti-splashing,and thus is worthy of clinical application for sputum aspiration.[Chinese Medical Equipment Journal,2025,46(4):113-117]

Objective Using the advantages of LASSO regression in early screening of complex diseases and judging disease condi-tions,to search a tool for early evaluation of cardiac insufficiency and infection in elderly people with community-acquired pneumonia(CAP)combined with diabetes mellitus(DM)to guide clinical practice.Methods According to the levels of the indexes at admission,the maximum level of the indexes during hospitalization and the level of the indexes at discharge were analyzed by multivariate analysis,and the differences of the core characteristic indexes were compared between the elderly patients with CAP combined with DM(CAP+DM)and those with CAP without DM(CAP alone)to discuss the necessity of biochemical indicators for predicting the development of core characteristics of two groups of patients.Results In elderly CAP+DM patients,the higher level of the blood white blood cell count at admission,the maximum levels of N terminal-pro B type natriuretic peptide(NT-pro BNP)and urine white blood cell count during hospitalization were higher.The higher the urine white blood cell count at admission,the maximum levels of blood white blood cell count and urine white blood cell count during hospitalization were higher.According to the NT-pro BNP,blood routine,and urine routine in-dexes at admission of elderly CAP patients,LASSO regression was performed on the maximum levels of core indexes during hospitalization and the levels of core indexes at discharge.It was found that after adding biochemical indexes,the determination coefficients of maximum levels of NT-pro BNP and urine white blood cell count during hospitalization and the NT-pro BNP level at discharge were significantly increased.Conclusion In elderly CAP+DM patients,the level of blood white blood cell count at admission can be used as a predictor of the severity of cardiac insufficiency during hospitalization.For elderly CAP+DM patients with higher blood white blood cell count and urine white blood cell count,attention should be paid to screen urinary tract infection during hospitalization.Biochemical tests at admis-sion can effectively help elderly CAP patients judge the severity of cardiac insufficiency and urinary tract infection during hospitalization and the cardiac function at discharge.